IDA 2020

Intelligent Data Analysis 2020 Video Submissions

Advancing Intelligent Data Analysis 2020 requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation. Therefore IDA accepts all inspiring papers for both presentation and publication. In order to create an open atmosphere that encourages discussion, IDA symposia are intentionally small-scale and single-track.

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Classification and regression
40 views, 07:21 68 - LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification68 - LiBRe: Label-Wise Selection of Base Learners in Binary ...	26 views, 09:11 103 - Reconciling predictions in the regression setting: an application to bus travel time prediction103 - Reconciling predictions in the regression setting: an application ...	22 views, 10:58 100 - Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams100 - Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams	28 views, 08:55 77 - Improving Prediction with Casual Probabilistic Variables77 - Improving Prediction with Casual Probabilistic Variables	23 views, 09:46 91 - Transfer Learning by Learning Projections from Target to Source91 - Transfer Learning by Learning Projections from Target to ...
14 views, 12:24 15 - Efficient Batch-Increamental Classification for Evolving Data Streams15 - Efficient Batch-Increamental Classification for Evolving Data Streams
Clustering
12 views, 10:28 64 - Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs64 - Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to ...	17 views, 06:48 22 - Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code22 - Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of ...	5 views, 10:32 83 - A consensus approach to improve NMF document clustering83 - A consensus approach to improve NMF document clustering	22 views, 47:28 82 - Even Faster Exact k-Means Clustering (Part 1 - Short Version, Part 2 - Full Version)82 - Even Faster Exact k-Means Clustering (Part 1 - ...	5 views, 05:08 79 - Ising-based Consensus Clustering on Specialized Hardware79 - Ising-based Consensus Clustering on Specialized Hardware
21 views, 10:00 55 - Overlapping Hierarchical Clustering (OHC)55 - Overlapping Hierarchical Clustering (OHC)
Deep learning
24 views, 09:22 43 - Estimating uncertainty in deep learning for reporting confidence: An application on protein cell type prediction in testes43 - Estimating uncertainty in deep learning for reporting confidence: ...	21 views, 07:22 54 - Dual Sequential Variational Autoencoders For Fraud Detection54 - Dual Sequential Variational Autoencoders For Fraud Detection	104 views, 06:43 63 - Do-U-Net for Segmentation and Counting63 - Do-U-Net for Segmentation and Counting	15 views, 10:40 107 - Event Recognition Based On Classification Of Generazed Image Captions107 - Event Recognition Based On Classification Of Generazed Image ...	47 views, 10:22 71 - Multivariate Time Series as Images: Imputation using Convolutional Denoising Autoencoder71 - Multivariate Time Series as Images: Imputation using Convolutional ...
24 views, 22:03 113 - Evaluation of CNN performance in semantically relevant latent spaces113 - Evaluation of CNN performance in semantically relevant latent ...
General themes and applications
25 views, 12:49 88 - AVATAR- Machine Learning Pipeline Evaluation Using Surrogate Model88 - AVATAR- Machine Learning Pipeline Evaluation Using Surrogate Model	22 views, 02:24 6 - Adversarial attacks hidden in plain sight6 - Adversarial attacks hidden in plain sight	35 views, 10:11 114 - Aleatoric and Epistemic Uncertainty with Random Forests114 - Aleatoric and Epistemic Uncertainty with Random Forests	7 views, 07:32 87 - Angle-based Crowding Degree Estimation for Many-Objective Optimization87 - Angle-based Crowding Degree Estimation for Many-Objective Optimization	44 views, 08:35 111 - Combining Machine Learning and Simulation to a Hybrid Modelling Approach111 - Combining Machine Learning and Simulation to a Hybrid ...
23 views, 09:31 18 - Digital footporints of international migration on Twitter18 - Digital footporints of international migration on Twitter	28 views, 09:59 34 - Master Your Metrics With Calibration34 - Master Your Metrics With Calibration
Graphs and networks
16 views, 06:56 62 - A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks presentation62 - A Principled Approach to Analyze Expressiveness and Accuracy ...	14 views, 10:27 28 - A Late-fusion Approach to Community Detection in Attributed Networks28 - A Late-fusion Approach to Community Detection in Attributed ...	12 views, 09:44 20 - Addressing the Resolution Limit and the Filed of View Limit in Community Mining20 - Addressing the Resolution Limit and the Filed of ...	20 views, 04:54 31 - Comparing the preservation of network properties by graph embeddings31 - Comparing the preservation of network properties by graph ...	4 views, 09:17 27 - Orometric Methods in Bounded Metric Data27 - Orometric Methods in Bounded Metric Data
14 views, 10:13 10 - Percolation-Based Detection of Anomalous Subgraphs in Complex Networks 10 - Percolation-Based Detection of Anomalous Subgraphs in Complex Networks	12 views, 06:40 23 - Interpretable Neuron Structuring with Graph Spectral Regularization23 - Interpretable Neuron Structuring with Graph Spectral Regularization
Learning theory
56 views, 12:20 92 - A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization92 - A Distribution Dependent and Independent Complexity Analysis of ...	15 views, 06:53 25 - Detection of Derivative Discontinuizies in Observational Data25 - Detection of Derivative Discontinuizies in Observational Data	27 views, 11:10 90 - Making Learners (More) Monotone90 - Making Learners (More) Monotone
Natural language processing
19 views, 15:01 86 - Enhanced Word Embeddings For Anorexia Nervosa Detection on Social Media86 - Enhanced Word Embeddings For Anorexia Nervosa Detection on ...	7 views, 04:10 67 - Supervised Phrase-boundary Embeddings67 - Supervised Phrase-boundary Embeddings	16 views, 09:45 30 - Towards Content Sensitivity Analysis30 - Towards Content Sensitivity Analysis
Pattern discovery
83 views, 09:51 58 - Actionable Subgroup Discovery and Urban Farm Optimization58 - Actionable Subgroup Discovery and Urban Farm Optimization	25 views, 10:22 60 - Gibbs sampling subjectively interesting tiles60 - Gibbs sampling subjectively interesting tiles	31 views, 09:59 73 - GraphMDL: Graph Pattern Selection based on Minimum Description Length73 - GraphMDL: Graph Pattern Selection based on Minimum Description ...	24 views, 09:00 57 - VOUW: Geometric Pattern Mining using the MDL Principle57 - VOUW: Geometric Pattern Mining using the MDL Principle	15 views, 09:15 26 - Widening for MDL-based Retail Signature Discovery26 - Widening for MDL-based Retail Signature Discovery 1 comment

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1 olimis, October 12, 2021 at 7:58 a.m.:

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Topic taxonomy

Type of content

Language

Year

IDA 2020

Intelligent Data Analysis 2020 Video Submissions

Classification and regression

Clustering

Deep learning

General themes and applications

Graphs and networks

Learning theory

Natural language processing

Pattern discovery

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